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Authors: Abhishek Kumar
Machine learning (ML) is a prominent branch of artificial intelligence (AI) that has drastically transformed various fields by providing sophisticated tools for data analysis and prediction. This paper reviews the pivotal role of mathematics in the development and refinement of machine learning algorithms. The core objective is to illustrate how mathematical principles underpin the processes of training and optimizing ML models, ensuring their effectiveness in recognizing patterns and making autonomous decisions from data.
Comments: 4 Pages. Keywords : Mathematics in Machine Learning, Statistics, Calculus, Linear Algebra, Probability
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[v1] 2024-06-06 05:40:01
Unique-IP document downloads: 216 times
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